Phillip Yang

29 papers receiving 524 citations

Phillip Yang's Hit Papers

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome is common in post-acute sequelae of SARS-CoV-2 infection (PASC): Results from a post-COVID-19 multidisciplinary clinic 2023 · 77 citations
770+1+2Years since publication255075

Peers

Phillip Yang
Comparison fields: 5 of 78
  • Cancer Research 83
  • Neurology 73
  • Anesthesiology and Pain Medicine 21
  • Psychiatry and Mental health 57
  • Cardiology and Cardiovascular Medicine 80
Replace Hiroyuki Ito with:
Hiroyuki Ito Japan
Takashi Horinouchi Japan
Vytenis Pranas Deltuva Lithuania
Shalom Michowiz Israel
Nicole L. Lohr United States
M. М. Tanashyan Russia
Yong Gu Chung South Korea
Reginald Marsh New Zealand
Mark Li United States
Phillip Yang relative to Hiroyuki Ito Japan Hiroyuki Ito's profile →
Citations per field
00.5×2.7×
Hiroyuki Ito · 1×
Citations per year

Countries citing papers authored by Phillip Yang

Since Specialization
Citations

This map shows the geographic impact of Phillip Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Phillip Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Yang more than expected).

Fields of papers citing papers by Phillip Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Phillip Yang. The network helps show where Phillip Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Phillip Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phillip Yang Line = papers co-authored together Phillip Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome is common in post-acute sequelae of SARS-CoV-2 infection (PASC): Results from a post-COVID-19 multidisciplinary clinic
Hit paper breakdown →
202377
2 201376
3 200671
4 201550
5 201442
6 201533
7 201732
8 201831
9 201727
10 201618
11 201614
12 198714
13 202211
14 20228
15 20215
16 20234
17 20242
18 20052
19 20132
20 20082

About Phillip Yang

Phillip Yang is a scholar working on Neurology, Cardiology and Cardiovascular Medicine, Molecular Biology, Clinical Psychology and Psychiatry and Mental health, having authored 34 papers that have together received 530 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Migration, Health and Trauma (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Pain Management and Treatment (1 paper). The work is most often cited by research in Cancer Research (83 citations), Neurology (73 citations), Anesthesiology and Pain Medicine (21 citations), Psychiatry and Mental health (57 citations) and Cardiology and Cardiovascular Medicine (80 citations). Phillip Yang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Joseph C. Wu, David Leu, J. David Clark, Maral Tajerian, Ting‐Ting Huang, Kazuharu Kai, Takae Brewer, Philip S. Tsao, James M. Reuben and Hiroko Masuda. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, Journal of Pain, Journal of Cardiovascular Magnetic Resonance and Journal of the American Society of Echocardiography.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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